MAAP (Monitoring of the Andean Amazon Project) is a project of DC-based Amazon Conservation, and its partners Conservación Amazónica (ACCA) in Peru, Amazon Conservation Team in Colombia, and EcoCiencia en Ecuador.
Launched in April 2015, MAAP is dedicated to presenting original analysis related to the dynamic new field of near real-time deforestation monitoring. Our goal is to present timely, high-impact technical reports in an easily accessible and understandable format.
The geographic focus of MAAP is the Andean Amazon, with an initial emphasis on Peru. In 2017, MAAP expanded coverage to Colombia in collaboration with Amazon Conservation Team. In 2018, MAAP will also cover Ecuador, in collaboration with EcoCiencia. MAAP also is conducting preliminary work in Bolivia with partner ACEAA.
MAAP has three primary objectives:
1) Rapidly document the most urgent deforestacion cases and identify the direct causes (drivers). MAAP has published over 75 of these case study reports as of early 2018 (see Archives page). Indeed, we aim to publish a new high-impact article (in both English and Spanish) every one to two weeks. We have documented the following major drivers of deforestation and degradation: gold mining, oil palm, cacao, small-scale agriculture, logging roads, and hydroelectric dams. We also recently published MAAP Interactive, an interactive map that shows the precise spatial location of documented deforestation drivers.
2) Better understand larger-scale deforestation patterns, hotspots, and drivers. We annually review all the case study reports and produce a synthesis report. The most recent is MAAP Synthesis #2. This synthesis represents a good starting point for policy makers, researchers, and journalists looking for a concise yet comprehensive overview of the deforestation situation of the region.
3) Improve policy and conservation action based on this cutting-edge technical information. Our primary audience is decision makers and government officials that may incorporate this information in official policy. An additional important audience is civil society, journalists, researchers, and the public, who together help create pressure to drive policy. We hope the end result is reduced deforestation. We have had a number of initial success stories, detailed here: Good News Deforestation Stories.
Given that the field of near real-time deforestation monitoring is young and dynamic, the MAAP methodology changes over time to incorporate the latest technology. Currently, the methodology combines four satellite systems: 1) Landsat-based early warning forest loss alerts (GLAD alerts), 2) high spatial and temporal resolution satellite imagery from Planet, 3) very high-resolution imagery from Digital Globe, and 4) radar imagery from the European Space Agency’s Sentinel-1 satellites. See the Methodology page for more details.
Since the launch, the site has received over 169,000 views.
MAAP is currently supported by funding from:
– International Conservation Fund of Canada
– Norwegian Agency for Development Cooperation (NORAD)
– MacArthur Foundation
It has also been supported by funding from:
– World Resources Institute’s Global Forest Watch Small Grant Fund
– USAID’s Initiative for Conservation in the Andean Amazon (ICAA)
– Gordon and Betty Moore Foundation
– Conservation, Food & Health Foundation
Special thanks to the two groups that review each article before it is published: an internal Amazon Conservation committee, and an external collection of Peruvian NGOs belonging to the Articulación Regional Amazónica (ARA).
See Methodology page.
To contact MAAP or to subscribe (or unsubscribe) to our email list for updates whenever we post new material please write to: email@example.com
MAAP applies the Creative Commons Attribution (CC BY) license to all works we publish. Under this license, MAAP retains ownership of the material, but so long as MAAP is cited as the original source, anyone is allowed to download, reuse, reprint, modify, distribute, and/or copy content. No permission is required from MAAP. Please scroll to the end of each individual article to see the recommended citation.
Updated Feb 2018